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Ca2.5Ag0.3Sm0.2Co4O9 semiconductor materials are synthesized and produced in this study using the sol–gel and cold pressing techniques for thermoelectric generator applications. As template samples are added, the Seebeck coefficient and power factor values rise, peaking at 800 °C for Ca2.5Ag0.3Sm0.2Co4O9 at 274.47 μV K−1 and 0.58 mW mK−2, respectively.
Enes Kilinc+4 more
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Feasibility of Spectral Analysis as a Tool in Nursing Research to Quantify Patterns of Respiration in Premature Infants. [PDF]
Bubshait K, Dizon O, Krueger C.
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The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
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Evaluation method for the color preference of lighting traditional Chinese paintings in museum based on light source spectral analysis. [PDF]
Li Z, Wang H, Han C, Dang R.
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An algorithmic characterization and spectral analysis of canonical splitting signed graph ξ(Σ). [PDF]
Sinha D, Kumar S.
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Comparison of the Bactericidal Effect of Ultrasonic and Heat Combined with Ultrasonic Treatments on Egg Liquids and Additional Analysis of Their Effect by NIR Spectral Analysis. [PDF]
Nagy D+5 more
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Time Series Analysis, 2020
Introduction This program calculates and displays the periodogram and spectrum of a time series. This is sometimes known as harmonic analysis or the frequency approach to time series analysis.
semanticscholar +2 more sources
Introduction This program calculates and displays the periodogram and spectrum of a time series. This is sometimes known as harmonic analysis or the frequency approach to time series analysis.
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Spectral Analysis and Time Series
, 1983Preface. Preface to Volume 2. Contents of Volume 2. List of Main Notation. Basic Concepts. Elements of Probability Theory. Stationary Random Processes. Spectral Analysis. Estimation in the Time Domain. Estimation in the Frequency Domain.
D. B. Preston
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